Scholar
Fabian Lehmann
Google Scholar ID: YFfwYUgAAAAJ
Ph.D. candidate, Humboldt-Universität zu Berlin
Citations & Impact
Citations
316
H-index
11
i10-index
13
Publications
20
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- Designed and implemented a processing pipeline for high-resolution blood pressure sensor data (master's thesis). Conducted performance benchmarking in continuous-integration processes (bachelor's thesis). Participated in multiple projects such as time-series data analysis in DIGINET-PS, crawling and analyzing restaurant reviews in the GeoTripNet case study, developing a distributed analysis pipeline for SimRa bicycle rides, and more.
Research Experience
- Ph.D. candidate (computer science), Knowledge Management in Bioinformatics Lab (Humboldt-Universität zu Berlin), Nov 2020 – Present. Student Assistant, DAI-Labor (Technical University of Berlin), May 2018 – Oct 2020. GeoTripNet - Case Study, University of Oxford, Oct 2019 – Mar 2020. Fog Computing Project, Einstein Center Digital Future, Apr 2019 – Sep 2020. Application Systems Project, Conrad Connect, Oct 2017 – Mar 2018. Semester Term Work, Reflect IT Solutions GmbH, Mar 2016 – Apr 2016 & Sep 2016 – Oct 2016. Gap work between school and studies, SPP Schüttauf und Persike Planungsgesellshaft mbH, May 2015 – Sep 2015.
Education
- Master of Science in Information Systems Management, 2020, Technical University of Berlin; Thesis: Design and Implementation of a Processing Pipeline for High Resolution Blood Pressure Sensor Data. Bachelor of Science in Information Systems Management, 2019, Technical University of Berlin; Thesis: Performance-Benchmarking in Continuous-Integration-Processes. Abitur (comparable to A Levels), 2015, Hannah-Arendt-Gymnasium (Berlin).
Background
- Research Interests: Distributed Systems, Scientific Workflows, Workflow Scheduling. Professional Field: Computer Science. Biography: Ph.D. candidate at the Knowledge Management in Bioinformatics Lab, Humboldt-Universität zu Berlin, funded by FONDA, a collaborative research center of the German Research Foundation (DFG). Fascinated by complex, distributed systems since bachelor studies, focusing on improving the execution of large scientific workflows.
Miscellany
- Personal Interests: Not specified.
